THE RO LE OF DIGITAL TECHNOLOGIES IN ECONOMIC DECISION-MAKING: ARTIFICIAL INTELLIGENCE AND RISK-TAKING

Autor: Tatiana V. Folomeeva, Ekaterina D. Sadovskaia, Fedor N. Vinokurov, Svetlana V. Fedotova
Rok vydání: 2022
Předmět:
Zdroj: Moscow University Psychology Bulletin. :40-64
ISSN: 2309-9852
0137-0936
Popis: Background. Artifi cial Intelligence is being actively introduced into the economic life of the country in the context of the digital economy. Features of economic decision-making based on Artifi cial Intelligence are becoming an extremely relevant area of research in social psychology. Objective of the study was to identify the features of economic decision-making based on recommendations obtained using artifi cial intelligence. Methods. Th e study took place in two stages: an interview and an experiment. Sample. Th e sample of the fi rst stage was 8 people (4 men and 4 women, age 18–45). At the second stage, the sample consisted of 289 people (48 men and 241 women), aged 18–25 years. Results. At the fi rst stage, possible factors of trust and distrust in Artifi cial Intelligence-based programs were formulated, including the context of economic decisions. At the second stage, an experiment was conducted where participants were asked to play a stock exchange simulator. Th e game had the option of contacting an economic adviser. In the experimental group, the adviser was a program based on Artifi cial Intelligence, in the control group — a person. 5652 economic decisions of the participants were analyzed in terms of the degree of risk of these decisions. Conclusion 1. Using a recommendation in the process of an economic decision making has a signifi cant impact on the willingness to risk a resource. 2. In case of agreement with the recommendation, if the source of the recommendation was a program based on Artifi cial Intelligence technology, then the willingness to take risks was higher. 3. Such an eff ect can be explained by the specifi cs of the situation of an economic decision-making: the task is quite formal, the time to solve the problem is limited and the decision-making situation is accompanied by a high degree of uncertainty about the consequences of this decision.
Databáze: OpenAIRE
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